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Execution Engines · Awesome GitHub Repositories

7 repos

Awesome GitHub RepositoriesExecution Engines

Core components that interpret or compile code to execute instructions on a computer processor.

Explore 7 awesome GitHub repositories matching programming languages & runtimes · Execution Engines. Refine with filters or upvote what's useful.

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Awesome Execution Engines GitHub Repositories

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  • pytorch/pytorch

    pytorch/pytorch

    97,601GitHubView on GitHub↗

    PyTorch is a machine learning framework centered on a GPU-ready tensor library that supports multi-dimensional array operations across both CPU and accelerator hardware. It provides a foundational infrastructure for mathematical computation and dynamic neural network construction, utilizing a tape-based automatic diffe

    Pythonautograddeep-learninggpu
  • python/cpython

    python/cpython

    71,643GitHubView on GitHub↗

    CPython is the primary, community-maintained reference implementation of the Python programming language. It functions as a high-level, interpreted execution environment that compiles source code into platform-independent bytecode for processing by a stack-based virtual machine. The runtime manages memory through a com

    Python
  • PaddlePaddle/PaddleOCR

    PaddlePaddle/PaddleOCR

    70,931GitHubView on GitHub↗

    PaddleOCR is a comprehensive optical character recognition framework designed for detecting and transcribing text from images and documents into structured, machine-readable formats. It provides a modular computer vision pipeline that decouples image preprocessing, text detection, and character recognition into indepen

    Pythonai4sciencechineseocrdocument-parsing
  • leonardomso/33-js-concepts

    leonardomso/33-js-concepts

    66,252GitHubView on GitHub↗

    This project is a comprehensive educational repository designed to help developers master the core mechanics, runtime behaviors, and browser-native capabilities of the JavaScript language. It provides a structured knowledge base that covers fundamental language features, such as prototype-based inheritance and event-lo

    JavaScriptangularconceptses6
  • scikit-learn/scikit-learn

    scikit-learn/scikit-learn

    65,178GitHubView on GitHub↗

    Scikit-learn is a machine learning library for predictive data analysis that provides a collection of algorithms for supervised and unsupervised learning. It functions as a comprehensive toolkit for data preprocessing, dimensionality reduction, and model selection, allowing users to classify data objects, predict conti

    Pythondata-analysisdata-sciencemachine-learning
  • keras-team/keras

    keras-team/keras

    63,858GitHubView on GitHub↗

    Keras is a high-level deep learning framework designed for constructing and training neural networks through the composition of modular, functional layers. It serves as a comprehensive modeling toolkit that provides standardized procedures for defining, evaluating, and deploying complex architectures. By utilizing a di

    Pythondata-sciencedeep-learningjax
  • LadybirdBrowser/ladybird

    LadybirdBrowser/ladybird

    58,620GitHubView on GitHub↗

    Ladybird is an independent, cross-platform web browser built from the ground up with a modular architecture. It functions as a standalone application that fetches, processes, and renders web content directly from the internet. At its core, the project serves as a research platform for browser architecture, focusing on

    C++browserbrowser-engine

Explore sub-tags

  • Just-In-Time CompilersExecution engines that translate high-level code into optimized machine instructions at runtime to improve performance.
  • Parallel Execution StrategiesMethods for distributing computational tasks across multiple CPU cores or processes to improve performance.
  • Static Graph ExecutionCompilation of computational models into fixed graphs to optimize memory and throughput.
Virtual Machines
Software implementations that execute bytecode instructions in an isolated environment.